ClickCease

Pricing your AI platform

We help you design pricing models that reflect real customer value - starting accessible to encourage adoption, and scaling naturally as the platform proves its worth.

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Our Pricing Approach

Pricing is about understanding the value you create, how customers experience that value, and designing a model that holds up as the venture grows. Our practical approach to pricing AI platforms removes guesswork and gives you a foundation to build on with confidence.

The right pricing strategy sits at the intersection of value, positioning, and real-world usage.

Our approach breaks pricing down into clear steps: quantifying impact, benchmarking alternatives and designing models that reflect how customers will actually use the platform.

We start by identifying the value the platform delivers to the customer. This may include:

Time saved through automation

  • Improvements in accuracy or quality
  • Reduction in operating or compliance costs
  • Risk reduction or error prevention
  • Revenue uplift or productivity gains

By grounding pricing in tangible outcoms, we establish a value anchor that pricing decisions can be tested against. This ensures the platform is commercially justifiable from the customer’s perspective.

Next up, we analyse how the problem is being solved today, and what customers are already paying. This includes:

  • Manual processes and internal labour costs
  • Legacy or incumbent software solutions
  • Workarounds and fragmented tools
  • Comparable AI or SaaS platforms

These benchmarks define the realistic price boundaries and help avoid pricing models that are either uncompetitive or misaligned with market expectations.

Pricing can’t be separated from positioning. We determine where the platform should sit in the market:

  • Specialist vs horizontal solution
  • Premium vs deliberately accessible
  • Category leader vs focused point solution

This positioning shapes not only price levels, but how pricing is framed, justified and understood.

With value and benchmarks in place, we focus on the customer: how they experience the problem, how strongly they feel it, and their willingness to pay.

We assess price sensitivity by understanding whether the problem is a minor inconvenience or a meaningful operational, financial, or risk-related issue - and whether the buyer feels that pain directly or indirectly within the organisation.

These insights guide entry pricing, tiering, and how value is captured across different customer segments.

With clarity across value, positioning and customer behaviour, we establish indicative price ranges early.

Most AI ventures benefit from a mix of subscription and usage-based pricing. We design models that reflect how customers actually use the platform, commonly including:

  • Monthly or annual licences
  • Usage-based components linked to AI consumption
  • Tiered plans based on features or scale
  • Per-organisation, per-user or per-seat structures

The goal is to keep pricing simple to understand, while allowing it to scale naturally as value increases.

Unlocking multiple revenue streams

Beyond standard base subscription model, many AI platforms create value in more ways than one.We look for opportunities to unlock additional revenue streams that align with how the platform is used and where value is delivered.

Depending on the venture, this may include:

  • Usage-based or consumption pricing layered on top of subscriptions
  • Premium features or advanced analytics tiers
  • Enterprise plans with custom integrations or service levels
  • Implementation, onboarding or configuration fees
  • Add-ons for compliance, reporting or industry-specific modules
  • Data, insights or benchmarking products derived from platform usage

By designing these early, we ensure revenue can grow with adoption, without relying on a single pricing lever or reworking the model again.

Joe Young, Mayfly Ventures, GTM Strategist

“Pricing is usually designed to start at a lower entry point, often with free trial optionality, to encourage early adoption. As usage grows and value is proven in real-world conditions, pricing can evolve and scale alongside the platform.”
“Pricing is usually designed to start at a lower entry point, often with free trial optionality, to encourage early adoption. As usage grows and value is proven in real-world conditions, pricing can evolve and scale alongside the platform.”

Joe Young, Mayfly Ventures GTM Strategist

Who we are

Here to turn your AI idea into an industry transforming venture

Mayfly helps you turn your AI idea into an industry-transforming venture.

As a venture studio, we bring product insight, go-to-market strategy, technical execution, and network into one integrated team, with shared ownership from the start.

We partner closely with a select group of ventures, validating what matters, reducing risk early, and giving founders clarity and confidence at every stage.

Ready to build the right pricing model?

If you’re building an AI platform and want to get your pricing right from the start - let’s talk.

This initial conversation is a chance to understand your venture, explore how pricing fits within the broader build, and see whether a venture studio partnership is the right fit.

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